Clovis Galiez
Impact in
- Ecology top 5%
- Bacteriophages and microbial interactions
- Microbial Community Ecology and Physiology
- Microbiology top 5%
Papers in
- Ecology 5
- Bacteriophages and microbial interactions 5
-
- Genomics and Phylogenetic Studies 4
- Machine Learning in Bioinformatics 2
- RNA and protein synthesis mechanisms 1
- Co-authors
- Johannes Söding (3 shared papers)Milot Mirdita (2 shared papers)Martin Steinegger (1 shared paper)María Martin (1 shared paper)François Enault (4 shared papers)Jonathan Vincent (1 shared paper)Matthias Siebert (1 shared paper)Ariane Toussaint (1 shared paper)
- Journals
- Bioinformatics (4 papers)Nature Communications (1 paper)Computational Statistics & Data Analysis (1 paper)Nucleic Acids Research (1 paper)NAR Genomics and Bioinformatics (1 paper)
- Partner nations
- FranceGermanySwitzerland
In The Last Decade
Clovis Galiez
11 papers receiving 982 citations
Clovis Galiez's Hit Papers
Peers
Comparison fields: 5 of 84
- Ecology 468
- Microbiology 75
- Molecular Biology 634
- Endocrinology 44
- Plant Science 125
Countries citing papers authored by Clovis Galiez
This map shows the geographic impact of Clovis Galiez's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Clovis Galiez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clovis Galiez more than expected).
Fields of papers citing papers by Clovis Galiez
This network shows the impact of papers produced by Clovis Galiez. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Clovis Galiez. The network helps show where Clovis Galiez may publish in the future.
Co-authors
The 25 scholars most cited alongside Clovis Galiez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Uniclust databases of clustered and deeply annotated protein sequences and alignments Hit paper breakdown → | 2016 | 470 |
| 2 | PHROG: families of prokaryotic virus proteins clustered using remote homology Hit paper breakdown → | 2021 | 234 |
| 3 | 2017 | 176 | |
| 4 | 2021 | 60 | |
| 5 | 2022 | 14 | |
| 6 | 2016 | 13 | |
| 7 | 2021 | 9 | |
| 8 | 2023 | 8 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2015 | 0 | |
| 13 | 2025 | 0 |
About Clovis Galiez
Clovis Galiez is a scholar working on Ecology, Molecular Biology, Plant Science, Nature and Landscape Conservation and Control and Systems Engineering, having authored 13 papers that have together received 987 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (5 papers), Genomics and Phylogenetic Studies (4 papers), Machine Learning in Bioinformatics (2 papers), Plant Virus Research Studies (2 papers), RNA and protein synthesis mechanisms (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Species Distribution and Climate Change (1 paper) and Plant and animal studies (1 paper). The work is most often cited by research in Ecology (468 citations), Microbiology (75 citations), Molecular Biology (634 citations), Endocrinology (44 citations) and Plant Science (125 citations). Clovis Galiez has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Johannes Söding, Milot Mirdita, Martin Steinegger, María Martin, François Enault, Jonathan Vincent, Matthias Siebert, Ariane Toussaint, Robin Mom and Marie‐Agnès Petit. Their work appears in journals such as Bioinformatics, Nature Communications, Computational Statistics & Data Analysis, Nucleic Acids Research and NAR Genomics and Bioinformatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.